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Google Tensor G2

The Google Tensor G2 operates with 8 cores and 8 CPU threads. It run at 2.85 GHz base 1.80 GHz all cores while the TDP is set at 10 W.The processor is attached to the N/A CPU socket. This version includes 4.00 MB of L3 cache on one chip, supports 2 memory channels to support LPDDR5-5500 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, G2 Architecture is enhanced with 4 nm technology and supports None. The product was launched on Q4/2022

Google Tensor G2
Frequency 2.85 GHz
CPU Cores 8
CPU Threads 8
Turbo (1 Core) 2.85 GHz
Turbo (8 Cores): 1.80 GHz
Hyperthreading No uncheck
Overclocking No uncheck
Core Architecture hybrid (Prime / big.LITTLE)

Memory & PCIe

Memory type LPDDR5-5500
Max memory 12 GB
Memory channels 2
ECC No
Bandwidth 53.0 GB/s
PCIe

Encryption

AES-NI No uncheck

Internal Graphics

Memory type LPDDR5-5500
GPU name ARM Mali-G710 MP7
GPU frequency 0.90 GHz
GPU (Turbo) No turbo
Generation Vallhall 3
DirectX Version
Execution units 7
Shader 0
Max memory --
Max. displays 1
Technology 4 nm
Release date Q2/2021

Technical details

Instruction set (ISA) ARMv8-A64 (64 bit)
Architecture G2
L2-Cache 8.00 MB
L3-Cache 4.00 MB
Technology 4 nm
Release date Q4/2022
Socket N/A

Thermal Management

TDP (PL1) 10 W
TDP (PL2) --
TDP Up --
TDP Down --
Tjunction max --

Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.

48% Complete
AMD Ryzen 3 5300U 1,075 (48%)
48% Complete
Intel Core i3-9100 1,075 (48%)
48% Complete
Google Tensor G2 1,074 (48%)
48% Complete
Intel Xeon W-2135 1,074 (48%)
48% Complete
Intel Core i5-1030G7 1,074 (48%)
48% Complete
Intel Core i5-1030G4 1,074 (48%)
48% Complete

Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.

6% Complete
Intel Xeon D-1521 3,164 (6%)
6% Complete
AMD Ryzen 7 3750H 3,156 (6%)
6% Complete
Google Tensor G2 3,150 (6%)
6% Complete
Intel Core i7-4790T 3,149 (6%)
6% Complete
Intel Core i7-3770S 3,144 (6%)
6% Complete
6% Complete

iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.

AMD A10-7800 703 (3%)
3% Complete
AMD A10-7850K 703 (3%)
3% Complete
AMD A8-7600 703 (3%)
3% Complete
Google Tensor G2 701 (3%)
3% Complete
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Buy Google Tensor G2

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